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Research on the Application of Data Mining Algorithms in Intelligent Transportation

Author

Listed:
  • Weifang Zhai

    (China University of Geosciences Great wall College, BaoDing, China)

  • Yiran Jiang

    (China University of Geosciences Great wall College, BaoDing, China)

  • Song Ji

    (China University of Geosciences Great wall College, BaoDing, China)

Abstract

Nowadays, in the field of intelligent transportation, data mining technology has been applied more and more widely. Data mining technology can find valuable data from amongst massive traffic data and analyze traffic conditions according to actual traffic conditions. In order to improve the management and control level of ITMS, effective information can be queried from various query conditions, models suitable for various traffic situations can be found, analyzed and predicted, and accurate information can be provided to traffic managers for decision-making. This article mainly studies the data mining algorithm in intelligent transportation, in order to provide practical reference for the application and research of urban traffic big data technology.

Suggested Citation

  • Weifang Zhai & Yiran Jiang & Song Ji, 2019. "Research on the Application of Data Mining Algorithms in Intelligent Transportation," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 11(2), pages 1-10, April.
    • Handle: RePEc:igg:japuc0:v:11:y:2019:i:2:p:1-10
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